Probably my most inspiring podcast episode up until now - if you didn't listen the first time, now is a must!

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What is AGI really — and why are today's AI models not getting us there? In this thought-provoking episode, Peter Voss, CEO and Chief Scientist of Aigo.ai, joins me to explore the real meaning behind Artificial General Intelligence.

Peter, who helped coin the term "AGI" back in 2001, explains why current AI systems like large language models are fundamentally on the wrong track.

We dive deep into the differences between narrow AI and cognitive AI, discuss the future potential of AGI to revolutionize industries, and tackle big questions like: Could AGI actually save humanity?

Peter also shares how his team is developing an AGI system that learns like a child — starting at the level of a three-year-old and advancing naturally, not through brute-force data.

We talk about why today's AI funding priorities may be holding true progress back, and why the biggest threat might not be AGI itself, but misunderstanding its nature.

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To go deeper into the topic, you'll find Aigo here: ⁠Aigo.ai⁠

And you can find Peter on ⁠⁠LinkedIn⁠⁠!

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Tune in to get my thoughts, don't forget to ⁠⁠⁠subscribe to our Newsletter⁠⁠⁠!_

Want to get in contact? Write me an email: ⁠⁠⁠podcast@argo.berlin⁠⁠⁠

Music credit: "Modern Situations" by Unicorn Heads.

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